# different compilation methods. E.g. for a PR to test a new CUDA version, set
# the CACHEBUSTER to the PR number.
build --action_env=CACHEBUSTER=20220325

# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

                    .build());
            options.addOption(Option.builder(FAIL_AT_END)
                    .longOpt("fail-at-end")
                    .desc("Only fail the build afterwards; allow all non-impacted builds to continue")
                    .build());
            options.addOption(Option.builder(FAIL_NEVER)
                    .longOpt("fail-never")

    replaceWith = ReplaceWith(expression = "immutable"),
    level = DeprecationLevel.ERROR,
  )
  fun immutable(): Boolean = immutable

  override fun toString(): String = commonToString()

  /** Builds a `Cache-Control` request header. */
  class Builder {
    internal var noCache: Boolean = false
    internal var noStore: Boolean = false
    internal var maxAgeSeconds = -1
    internal var maxStaleSeconds = -1

    else -> actualBranch
}

/**
 * The build environment.
 *
 * WARNING: Every val in here must not change for they same daemon. If it does, changes will go undetected,
 *          since this whole object is kept in the classloader between builds.
 *          Anything that changes must be in a val with a get() method that recomputes the value each time.
 */

  {
    "name": "build-cache-example-client",
    "path": "platforms/core-execution/build-cache-example-client",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "build-cache-http",
    "path": "platforms/core-execution/build-cache-http",
    "unitTests": false,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "build-cache-local",

  <!-- profiles
   | This is a list of profiles which can be activated in a variety of ways, and which can modify
   | the build process. Profiles provided in the settings.xml are intended to provide local machine-
   | specific paths and repository locations which allow the build to work in the local environment.
   |
   | For example, if you have an integration testing plugin - like cactus - that needs to know where

[license]: https://www.apache.org/licenses/LICENSE-2.0
[build]: https://ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master/
[test-results]: https://ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master/lastCompletedBuild/testReport/
[build-status]: https://img.shields.io/jenkins/s/https/ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master.svg?

    try {
      setUp();
      runTest();
    } finally {
      tearDown();
    }
  }

  @Override
  protected void tearDown() {
    tearDownStack.runTearDown();
  }

  /** Builds a {@link TearDownStack} that makes sure it's clear by the end of this test. */
  private TearDownStack buildTearDownStack() {
    final TearDownStack result = new TearDownStack();
    tearDownStack.addTearDown(

/**
 * A Maven lifecycle is a sequence of predefined phases that govern the build process
 * of a Maven project. Each phase represents a specific step, such as compiling the
 * code, running tests, packaging the project, and deploying it. Executing a phase
 * triggers all preceding phases, ensuring that each step of the build process is
 * completed in the correct order. The three main lifecycles in Maven are

# the CACHEBUSTER to the PR number.
build --action_env=CACHEBUSTER=20220325

# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Use lld as the linker
build --linkopt="-fuse-ld=lld"
build --linkopt="-lm"